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What is SAS Grid Manager?

SAS Grid Manager provides organizations with a competitive edge by improving computing capabilities and effectively managing peak demands in a budget-friendly way through a flexible, centrally managed grid computing framework. This innovative system enables IT departments to responsively fulfill service level agreements by reallocating computing resources to accommodate high-demand tasks or evolving business needs, all while keeping centralized oversight of policies, programs, queues, and job prioritization for various users and applications. Within a grid infrastructure that connects multiple servers, tasks can be executed on the most appropriate available resource, guaranteeing that if one server experiences a problem, tasks can quickly switch to another server without any interruption. IT staff can perform maintenance on specific servers or increase computing resources without disrupting ongoing analytics processes or business activities. Moreover, SAS Grid Manager broadens support for diverse analytics environments by adeptly managing jobs not only in SAS but across various programming languages, which accelerates the execution of analytical tasks. This functionality greatly enhances productivity and ensures that analytics workflows run smoothly, significantly reinforcing an organization’s operational effectiveness. Furthermore, the flexibility and resilience of SAS Grid Manager empower organizations to scale their operations seamlessly as their analytical needs evolve over time.

What is AWS ParallelCluster?

AWS ParallelCluster is a free and open-source utility that simplifies the management of clusters, facilitating the setup and supervision of High-Performance Computing (HPC) clusters within the AWS ecosystem. This tool automates the installation of essential elements such as compute nodes, shared filesystems, and job schedulers, while supporting a variety of instance types and job submission queues. Users can interact with ParallelCluster through several interfaces, including a graphical user interface, command-line interface, or API, enabling flexible configuration and administration of clusters. Moreover, it integrates effortlessly with job schedulers like AWS Batch and Slurm, allowing for a smooth transition of existing HPC workloads to the cloud with minimal adjustments required. Since there are no additional costs for the tool itself, users are charged solely for the AWS resources consumed by their applications. AWS ParallelCluster not only allows users to model, provision, and dynamically manage the resources needed for their applications using a simple text file, but it also enhances automation and security. This adaptability streamlines operations and improves resource allocation, making it an essential tool for researchers and organizations aiming to utilize cloud computing for their HPC requirements. Furthermore, the ease of use and powerful features make AWS ParallelCluster an attractive option for those looking to optimize their high-performance computing workflows.

Media

Media

Integrations Supported

AWS Batch
AWS EC2 Trn3 Instances
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
GitHub
Python
SAS Viya
Slurm

Integrations Supported

AWS Batch
AWS EC2 Trn3 Instances
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
GitHub
Python
SAS Viya
Slurm

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/grid-manager.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/parallelcluster/

Categories and Features

Categories and Features

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